Instructions to use cuongdev/vtt-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/vtt-new with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/vtt-new", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ff75bb72ff5db86052a373522f15b10c1d283a551f0c5a20353aba40d469764e
- Size of remote file:
- 3.46 GB
- SHA256:
- 9f5609c9c566afeccd33d73f114516c6ea916650de552b71117c4ce7dc51d798
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